Complex conjugate matrix equations for systems and control

The book is the first book on complex matrix equations including the conjugate of unknown matrices. The study of these conjugate matrix equations is motivated by the investigations on stabilization and model reference tracking control for discrete-time antilinear systems, which are a particular kind...

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Bibliographic Details
Main Authors Wu, Ai-Guo (Author), Zhang, Ying (Author)
Format Electronic eBook
LanguageEnglish
Published Singapore : Springer, 2016.
SeriesCommunications and control engineering.
Subjects
Online AccessFull text
ISBN9789811006371
9789811006357
ISSN0178-5354
Physical Description1 online resource (xviii, 487 pages) : illustrations

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035 |a (OCoLC)956505378  |z (OCoLC)956998370  |z (OCoLC)958350480 
100 1 |a Wu, Ai-Guo,  |e author. 
245 1 0 |a Complex conjugate matrix equations for systems and control /  |c Ai-Guo Wu, Ying Zhang. 
264 1 |a Singapore :  |b Springer,  |c 2016. 
264 4 |c ©2017 
300 |a 1 online resource (xviii, 487 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Communications and control engineering,  |x 0178-5354 
504 |a Includes bibliographical references and index. 
505 0 |a Preface; Contents; Notation; 1 Introduction; 1.1 Linear Equations; 1.2 Univariate Linear Matrix Equations; 1.2.1 Lyapunov Matrix Equations; 1.2.2 Kalman-Yakubovich and Normal Sylvester Matrix Equations; 1.2.3 Other Matrix Equations; 1.3 Multivariate Linear Matrix Equations; 1.3.1 Roth Matrix Equations; 1.3.2 First-Order Generalized Sylvester Matrix Equations; 1.3.3 Second-Order Generalized Sylvester Matrix Equations; 1.3.4 High-Order Generalized Sylvester Matrix Equations; 1.3.5 Linear Matrix Equations with More Than Two Unknowns; 1.4 Coupled Linear Matrix Equations. 
505 8 |a 1.5 Complex Conjugate Matrix Equations1.6 Overview of This Monograph; 2 Mathematical Preliminaries; 2.1 Kronecker Products; 2.2 Leverrier Algorithms; 2.3 Generalized Leverrier Algorithms; 2.4 Singular Value Decompositions; 2.5 Vector Norms and Operator Norms; 2.5.1 Vector Norms; 2.5.2 Operator Norms; 2.6 A Real Representation of a Complex Matrix; 2.6.1 Basic Properties; 2.6.2 Proof of Theorem 2.7; 2.7 Consimilarity; 2.8 Real Linear Spaces and Real Linear Mappings; 2.8.1 Real Linear Spaces; 2.8.2 Real Linear Mappings; 2.9 Real Inner Product Spaces; 2.10 Optimization in Complex Domain. 
505 8 |a 2.11 Notes and ReferencesPart I Iterative Solutions; 3 Smith-Type Iterative Approaches; 3.1 Infinite Series Form of the Unique Solution; 3.2 Smith Iterations; 3.3 Smith (l) Iterations; 3.4 Smith Accelerative Iterations; 3.5 An Illustrative Example; 3.6 Notes and References; 4 Hierarchical-Update-Based Iterative Approaches; 4.1 Extended Con-Sylvester Matrix Equations; 4.1.1 The Matrix Equation AXB+CoverlineXD=F; 4.1.2 A General Case; 4.1.3 Numerical Examples; 4.2 Coupled Con-Sylvester Matrix Equations; 4.2.1 Iterative Algorithms; 4.2.2 Convergence Analysis; 4.2.3 A More General Case. 
505 8 |a 4.2.4 A Numerical Example4.3 Complex Conjugate Matrix Equations with Transpose of Unknowns; 4.3.1 Convergence Analysis; 4.3.2 A Numerical Example; 4.4 Notes and References; 5 Finite Iterative Approaches; 5.1 Generalized Con-Sylvester Matrix Equations; 5.1.1 Main Results; 5.1.2 Some Special Cases; 5.1.3 Numerical Examples; 5.2 Extended Con-Sylvester Matrix Equations; 5.2.1 The Matrix Equation AXB+CoverlineXD=F; 5.2.2 A General Case; 5.2.3 Numerical Examples; 5.3 Coupled Con-Sylvester Matrix Equations; 5.3.1 Iterative Algorithms; 5.3.2 Convergence Analysis; 5.3.3 A More General Case. 
505 8 |a 5.3.4 Numerical Examples5.3.5 Proofs of Lemmas 5.15 and 5.16; 5.4 Notes and References; Part II Explicit Solutions; 6 Real-Representation-Based Approaches; 6.1 Normal Con-Sylvester Matrix Equations; 6.1.1 Solvability Conditions; 6.1.2 Uniqueness Conditions; 6.1.3 Solutions; 6.2 Con-Kalman-Yakubovich Matrix Equations; 6.2.1 Solvability Conditions; 6.2.2 Solutions; 6.3 Con-Sylvester Matrix Equations; 6.4 Con-Yakubovich Matrix Equations; 6.5 Extended Con-Sylvester Matrix Equations; 6.6 Generalized Con-Sylvester Matrix Equations; 6.7 Notes and References; 7 Polynomial-Matrix-Based Approaches. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a The book is the first book on complex matrix equations including the conjugate of unknown matrices. The study of these conjugate matrix equations is motivated by the investigations on stabilization and model reference tracking control for discrete-time antilinear systems, which are a particular kind of complex system with structure constraints. It proposes useful approaches to obtain iterative solutions or explicit solutions for several types of complex conjugate matrix equation. It observes that there are some significant differences between the real/complex matrix equations and the complex conjugate matrix equations. For example, the solvability of a real Sylvester matrix equation can be characterized by matrix similarity; however, the solvability of the con-Sylvester matrix equation in complex conjugate form is related to the concept of con-similarity. In addition, the new concept of conjugate product for complex polynomial matrices is also proposed in order to establish a unified approach for solving a type of complex matrix equation. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Matrices. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Zhang, Ying,  |e author. 
776 0 8 |i Erscheint auch als:  |n Druck-Ausgabe  |t Wu, Ai-Guo. Complex Conjugate Matrix Equations for Systems and Control 
830 0 |a Communications and control engineering. 
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